固体矿产资源储量半自动化估算方法

doi:10.11872/j.issn.1005-2518.2021.05.030

摘要/Abstract

摘要：

三维矿业软件主要通过人机交互的操作方式进行资源储量估算工作，存在操作步骤繁多、易出差错和估算时间长等缺点。在结合Surpac三维矿业软件编制资源量估算报告的基础上，提出了利用Surpac软件二次开发技术编制功能，建立了固体矿产资源储量半自动化估算方法。通过设计符合《固体矿产资源储量估算规程》要求的三维矿体资源储量估算技术流程，利用Surpac软件二次开发的TCL/SCL脚本技术，在Surpac软件基础上开发系列功能执行流程操作。研究表明：除了剖面解译、实体建模和变异函数需要人机交互外，其他所有操作均可利用开发的功能进行自动化处理，使资源储量估算工作整体上达到半自动化程度。将本文提出的方法应用于内蒙古自治区阿鲁科尔沁旗巴彦包勒格银多金属矿资源量估算过程中，并采用地质块段法对该矿床1号银矿体资源量进行估算验证，结果表明2种方法所得估算结果的相对偏差均在合理范围内。由此说明，本文提出的储量半自动化估算方法可靠可行，能够显著提高资源储量估算工作效率，创造了良好的经济效益。

关键词: 固体矿产资源储量估算, Surpac软件, 二次开发, 半自动化估算方法, 银多金属矿, 内蒙古

Abstract:

With the popularization and application of Surpac and other 3D mining software，more and more exploration projects use 3D mining software to prepare the estimation reports of solid mineral resources. Although the solid mineral resource estimation report compiled with 3D mining software is much faster than the traditional 2D method of resource reserve estimation to some extent，it also faces the problem of manual operation steps，inconsistent estimation process，and difficult matching between estimation results and specification requirements. In order to improve the calculation efficiency and make the results meet the specification requirements，a semi-automatic method for solid mineral resource estimation has been developed in compliance with “Regulations of Solid Mineral Resources Estimation”. The development of this semi-automatic resource estimation method has been based on the secondary development technology which is provided by Surpac software. This new method has been developed by summarizing，from various geological exploration projects，the layouts of different types of exploration test locations as well as the characteristics and spatial distribution of the orebody. From this work，a set of instance data that can cover various exploration situations was then prepared as the objects of research. This new method is combined with the characteristics of the Resource Estimation Report prepared by Surpac 3D mining software，it has developed a technical process of mineral resource estimation using 3D mining software and in accordance with the specification requirements. Through computer programming，most of the operations in the process can be implemented by the developed program. Except for cross section interpretation and solid modeling which still needs manual operation，all of the other steps including entry of raw data，establishment of geological database，statistics of mineral grade，process of especially high mineral grade，estimation and validation of the block models，mineral resource estimation reporting，generating drawings and so on can be carried out using the automatic procedures. Therefore，the overall work for estimation of solid mineral resources has reached a degree of semi-automation.The three-dimensional resource and reserve estimation of Bayan Baolege silver-polymetallic ore in Alu Kerqinqi of Inner Mongolia Autonomous Region is completed by the semi-automatic method.Dozens of silver and zinc orebodies are interpreted，the statistical summary of geological characteristics，resource estimation report and drawings of all mineral bodies are automatically completed，and the drawing of 36 geological section profiles，10 horizontal section drawings and 12 vertical longitudinal projection drawings in the mining area are completed automatically within 1/2 days. The geological block method is used to caculate and verify the No.1 main orebody. The relative deviation of the estimation results of the two methods is within a reasonable range. The estimation results show that the results are reliable and meet the specification requirements.The estimation time is greatly reduced，significantly improving the estimation work efficiency and creating good economic benefits.

Key words: estimation of solid mineral resources reserves, Surpac software, secondary development, semi-automatic estimation method, silver polymetallic ore, Inner Mongolia

中图分类号:

P624.7

李海泉. 固体矿产资源储量半自动化估算方法[J]. 黄金科学技术, 2021, 29(5): 647-657.

Haiquan LI. A Semi-automatic Method for Estimation of Solid Mineral Resources Reserves[J]. Gold Science and Technology, 2021, 29(5): 647-657.

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线串编号或实体编号范围	地质信息
102，32000，100	地层
103，32000，100	岩体
104，32000，100	脉岩
105，32000，100	正断层
106，32000，100	逆断层
109，32000，100	蚀变岩
110，32000，100	矿体

资源量类型	矿石体积 /m³	平均体积质量 /（t·m^-3）	矿石量 /10⁴t	平均品位 /（×10^-6）	金属量 /t
合计	561016	2.91	163.3	149.21	243
探明资源量	318375	2.91	92.6	146.80	136
控制资源量	134203	2.91	39.1	154.78	60
推断资源量	108438	2.91	31.6	149.42	47

资源量类型	面积/m²	平均厚度/m	体积/m³	平均体积质量/（t·m^-3）	矿石量/（10⁴t）	平均品位/（×10^-6）	金属量/t
合计	116 914	5.11	597 800	2.91	174.7	150.00	261
探明资源量	47 924	6.87	329 069	2.91	96.5	152.63	146
控制资源量	33 600	3.98	133 792	2.91	38.9	155.73	61
推断资源量	35 390	3.81	134 939	2.91	39.3	137.71	54

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